R Observatory: Metrics for BTM version 0.3.8

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

BTM

0.3.8Package record

Biterm Topic Models for Short Text

0packages dependsuggested by 2

6.2Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Jan WijffelsCRAN page ↗GitHub ↗

Biterm Topic Models find topics in collections of short texts. It is a word co-occurrence based topic model that learns topics by modeling word-word co-occurrences patterns which are called biterms. This in contrast to traditional topic models like Latent Dirichlet Allocation and Probabilistic Latent Semantic Analysis which are word-document co-occurrence topic models. A biterm consists of two words co-occurring in the same short text window. This context window can for example be a twitter message, a short answer on a survey, a sentence of a text or a document identifier. The techniques are explained in detail in the paper 'A Biterm Topic Model For Short Text' by Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Xueqi Cheng (2013) https://github.com/xiaohuiyan/xiaohuiyan.github.io/blob/master/paper/BTM-WWW13.pdf.

Changes in 0.3.8

fix some R CMD check NOTEs about the use of itemize in the documentation

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("BTM", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("bnosac/BTM")

Development version from bnosac/BTM. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-btm

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-BTM

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-BTM

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 2.8 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-04-22
ERROR13 OK, 1 ERROR2026-04-18
OK14 OK2026-04-08

Show 2 earlier changesHide 2 earlier changes

ERROR13 OK, 1 ERROR2026-04-07
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.3.8

READMEYes · 385 wordsVignettesNoNEWSYes · 100% structured · mentions 0.3.8Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 5
Examples that run: 100%5 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 40%

How these are measured

Downloads

6.2K

CRAN downloads in the past year

Rank #6,130 · ~17/day · ~514/mo

Releases R versions

Daily download trend is not available in this view yet.

56430 days

1.3K90 days

6.2K1 year

Compare downloads with other packages →

Also on427 r2u13 autocran86 c2d4u

How downloads are counted

Repository

bnosac/btm ↗Organization: bnosac

98Stars

15Forks

4Open issues

0Open PRs

9Releases

59Commits

2Commit identities

rtopic-modelingnatural-language-processingbiterm-topic-modelling

License file reads as Apache-2.0 · 59 commits · Last activity 2025-11-26 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 2
Median days to close, 50 most recently updated closed PRs: 1

Stars over time

2025-05-23 · 952026-07-07 · 98

How these are measured

PracticesBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/bnosac/btm on 2026-10-18.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux and macOS, and on R-devel

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Installing BTM adds 1 package (1 with compiled code, 1.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB.

Depends (0)

none

Imports (2)

Rcpputils

LinkingTo (1)

Rcpp

Suggests (2)

udpipe data.table

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Suggested by 2

Suggests, most downloaded first

oolong textplot

How these are counted

Code & Tests

People & History

People (3)

Jan Wijffels

R wrapper

Xiaohui Yan

Contributor, Copyright holder

BTM C++ library

BNOSAC

Copyright holder

R wrapper

Releases (10)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
0.3.8Latest
record
2025-11-26 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
0.3.7
record
2023-02-11 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.3.6
record
2021-07-02 · diff ↗
R
R 4.1.0 released · 2021-05-18
0.3.5
record
2021-02-18 · diff ↗
0.3.4
record
2020-10-12 · diff ↗
0.3.3
record
2020-10-10 · diff ↗
0.3.1
record
2020-05-02 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.3
record
2020-03-15 · diff ↗
0.2.1
record
2019-05-31 · diff ↗

Show 3 earlier eventsHide 3 earlier events

R
R 3.6.0 released · 2019-04-26
0.2
record
2018-12-28
R
R 3.5.0 released · 2018-04-23

Package metadata

First published: 2018-12-28
Total releases: 10 / 8 yrs
License: Apache License 2.0 OSI
Download size: 111 KB

Appears in task views

Natural Language Processing

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BTM")

Format

Wijffels, J., BNOSAC, & Xiaohui Yan. (2025). BTM: Biterm Topic Models for Short Text (Version 0.3.8) [Computer software]. https://doi.org/10.32614/CRAN.package.BTM

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for BTM version 0.3.8 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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